Mathematical Analysis of Signals and Clinical Parameters Provided by Non-invasive Home Ventilation Devices

Recruiting now

Conditions studied: COPD (Chronic Obstructive Pulmonary Disease)

In brief

This study will look at people with COPD who use a home breathing machine called non-invasive ventilation (NIV). NIV machines collect information about your breathing, such as air flow, pressure, and mask leaks. Researchers want to use a computer program, called artificial intelligence (AI), to study this information. The goal is to find early signs that your breathing may be getting worse. People with COPD who already use NIV at home may join this study. The study does not change your treatment. It only uses the breathing data already recorded by your NIV machine. The computer program will look for patterns in the data. These patterns may help doctors: Notice early warning signs of a COPD flare-up Find problems with how you and the machine work together Improve the way NIV is monitored at home The main goal is to create a tool that helps patients and doctors manage home NIV more easily and more safely.

Key facts

Study ID
NCT07267104
Run by
Corporacion Parc Tauli
People needed
75
Starts
2025-03-25
Expected to finish
2026-12-01
Last updated by the study team
2025-12-05

Who can join

Age: 40 and older, up to 80. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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